Study on Short-term Load Forecasting for Expansion of New Power System in Complex Environments
Due to the diversification of energy structure and electricity demand,the operating environment and load chan-ges of the power system have become increasingly complex,leading to low accuracy in short-term load forecasting.To ad-dress the above issues,a study on short-term load forecasting for the expansion of new power systems in complex environ-ments is carried out.By decomposing a large amount of historical load data,multiple trends and cyclical characteristics of load changes are discovered.The type coefficient of the load series is calculated to reflect the dynamic changes of the load series.The load data of historical days which have similar trend with climate conditions and holiday arrangements are ob-tained,processed and optimized to predict the load for the target day.The experimental results show that the prediction method has high prediction accuracy and can ultimately output more accurate short-term load forecasting results.
complex environmentnew power systemshort-term loadload forecasting
万方数据
维普
